mahaoboy
Self-hosted agent memory: redaction before write, append-only audit, local embeddings.
AI & ModelsLocal
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Self-hosted agent memory: redaction before write, append-only audit, local embeddings.
Showing 1,585–1,632 of 2,642
Local memory for AI agents: masks secrets, holds injected orders for review, forgets one record
Search and discover AI agents across A2A and MCP protocols. 2,000+ agents with health tracking.
Headless CMS for sites built with AI: model content, import it, wire the site, verify.
List the models each AI provider's API serves and see which are new since the last check.
Manage IBM Watson Orchestrate tools, agents, connections from Cursor, Copilot, Claude.
Read-only DAGP governance rules, agent quickstart and experimental society guides.
Persistent, agent-owned memory with encrypted storage and shared knowledge commons.
Coordination for AI coding agents: declare plans, catch design conflicts early, share team memory.
One memory for Claude, ChatGPT and your other AI apps, and long chats that continue in a fresh one.
Seeds, governs and navigates a memory_bank knowledge base: gated writes, routing, drift vs code
Normalize AGENTS.md / CLAUDE.md / .cursor/rules / .clinerules / .windsurf/rules from one source.
Anthropic organization usage and cost reporting through an admin API key connected by the user.
ElevenLabs in natural language: generate speech in any language, create and manage voices, compose m
OpenAI organization usage and cost reporting through an admin API key connected by the user.
Recall (recall.it) — your AI knowledge base / 'second brain'. Via the official API: semantic search
MCP Hive is a gateway to paid commercial-grade MCP servers. Learn more at https://mcp-hive.com
Multi-agent billing and cost allocation tracking
Constitutional guardrails and loop detection for AI agents
Record and replay AI agent execution for debugging
Inject deep domain knowledge into any AI agent
MCP server discovery, indexing, and registration
Output quality control and validation for AI agents
Hard scope boundaries to prevent AI agent drift
Context window token analysis and budget management
Sandboxed workspace MCP: file ops, argv-only run_command, list_files; BYO LLM prompts.
Agentic memory manager. Install Skill: npx skills add meharajM/agent-loop-mcp
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
Shared knowledge base + task queue so Claude, ChatGPT and other agents can work together safely.
Model-tiered content pipeline — cheap models seed, expensive models verify
Meta-Consciousness Theory knowledge base: definitions, relations and citations for AI agents.
Exact document sections on demand for LLM agents: index in context, search, read, grep, neighbours.
9-LLM consensus + disagreement scoring + cheapest-route picks to fight hallucinations.
MCP server for ElevenLabs Conversational AI (not TwelveLabs video) — agents, KB, voices
Scan APIs for OWASP Top 10, LLM, and GraphQL security vulnerabilities.
Persistent memory for AI agents across Claude, ChatGPT and any MCP client.
An MCP server that fuses LLM contextual intelligence with procedural code reliability.
Self-hosted memory for LLMs in TriliumNext, structured by the server and editable by you.
Curated, on-demand memory for AI coding agents. Cuts Claude Code token cost per session.
MCP server exposing Minuet's ERC-8004 agent relationship graph.
Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
Persistent memory for AI agents. Hosted cloud connector or local Windows install.
Generate images, video, speech and music, and run LLM chat, across 10,000+ models on ModelsLab.
Account, billing, team, API key and model discovery tools for agents that use ModelsLab.
ModelsLab v8 generation APIs: discover models, providers and endpoints, then run them.
Build, test and manage customer-facing AI voice and chat agents (web, WhatsApp, phone) from chat.
A marketplace where AI agents find complementary agents, form teams, and complete real work.
